---
title: VDMS
---

> [VDMS](https://github.com/IntelLabs/vdms/blob/master/README.md) is a storage solution for efficient access
> of big-”visual”-data that aims to achieve cloud scale by searching for relevant visual data via visual metadata
> stored as a graph and enabling machine friendly enhancements to visual data for faster access.

## Installation and Setup

### Install Client

<CodeGroup>
```bash pip
pip install langchain-vdms
```

```bash uv
uv add langchain-vdms
```
</CodeGroup>

### Install Database

There are two ways to get started with VDMS:


1. Install VDMS on your local machine via docker
    ```bash
        docker run -d -p 55555:55555 intellabs/vdms:latest
    ```

2. Install VDMS directly on your local machine. Please see
[installation instructions](https://github.com/IntelLabs/vdms/blob/master/INSTALL.md).

## VectorStore

To import this vectorstore:

```python
from langchain_vdms import VDMS
from langchain_vdms.vectorstores import VDMS
```
To import the VDMS Client connector:

```python
from langchain_vdms.vectorstores import VDMS_Client
```

For a more detailed walkthrough of the VDMS wrapper, see [this guide](/oss/integrations/vectorstores/vdms).
